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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Condition: New.
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Earth Observation Data Analytics Using Machine and Deep Learning
Language: English
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Hardback. Condition: New. Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations. Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation.
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Condition: As New. Unread book in perfect condition.
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Applications of Deep Learning to Radar Polarimetry | A Physics First Approach to Machine Learning in Radar Earth Observation Applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139815991 ISBN 13: 9786139815999
Taschenbuch. Condition: Neu. Applications of Deep Learning to Radar Polarimetry | A Physics First Approach to Machine Learning in Radar Earth Observation Applications | Shaunak de | Taschenbuch | 212 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139815999 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
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Applications of Deep Learning to Radar Polarimetry: A Physics First Approach to Machine Learning in Radar Earth Observation Applications
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139815991 ISBN 13: 9786139815999
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Add to basketPaperback. Condition: Brand New. 212 pages. 8.66x5.91x0.48 inches. In Stock.
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Deep Learning for Multi-sensor Earth Observation
Language: English
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
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Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges (Computing and Networks)
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
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Earth Observation Data Analytics Using Machine and Deep Learning
Language: English
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Hardback. Condition: New. Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations. Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation.
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Earth Observation Data Analytics Using Machine and Deep Learning: Modern Tools, Applications and Challenges
Language: English
Published by Inst of Engineering & Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
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Add to basketHardcover. Condition: Brand New. 244 pages. 9.21x6.14x0.83 inches. In Stock.
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Deep Learning for Multi-Sensor Earth Observation
Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning for Earth Observation and Climate Monitoring
Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Deep Learning for Earth Observation and Climate Monitoring
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Deep Learning for Earth Observation and Climate Monitoring
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Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management
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Deep Learning for Earth Observation and Climate Monitoring
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Earth Observation and Deep Learning for Coastal Monitoring, Mapping, and Management
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Add to basketCondition: New. Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptabilityIncludes both learning representations and unsupervised de.
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Language: English
Published by Institution Of Engineering & Technology Jul 2023, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Buch. Condition: Neu. Neuware - Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations. Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation.
